For questions related to the neuroevolution technique called NeuroEvolution of Augmenting Topologies (NEAT), introduced in the paper "Evolving Neural Networks through Augmenting Topologies" (2002) by Kenneth O. Stanley and Risto Miikkulainen.
See the paper that introduced NEAT Evolving Neural Networks through Augmenting Topologies (2002) by Kenneth O. Stanley and Risto Miikkulainen. See also Efficient Reinforcement Learning Through Evolving Neural Network Topologies by the same authors.
Other possibly useful resources
- Evolving Adaptive Neural Networks with and without Adaptive Synapses
- Real-time Learning in the NERO Video Game
- Comparing Evolutionary and Temporal Difference Methods in a Reinforcement Learning Domain
- NEAT C++ Original (University of Texas)